LEADER 03453nam 2200649 a 450 001 9910821656103321 005 20240516091741.0 010 $a1-283-40462-1 010 $a9786613404626 010 $a1-118-30044-0 010 $a1-118-30042-4 035 $a(CKB)2670000000133768 035 $a(EBL)827062 035 $a(OCoLC)769343032 035 $a(SSID)ssj0000571061 035 $a(PQKBManifestationID)11377245 035 $a(PQKBTitleCode)TC0000571061 035 $a(PQKBWorkID)10611491 035 $a(PQKB)10529157 035 $a(MiAaPQ)EBC827062 035 $a(Au-PeEL)EBL827062 035 $a(CaPaEBR)ebr10521404 035 $a(CaONFJC)MIL340462 035 $a(PPN)183678869 035 $a(EXLCZ)992670000000133768 100 $a20110915d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aNonlinearity, complexity and randomness in economics $etowards algorithmic foundations for economics /$fedited by Stefano Zambelli and Donald A.R. Georg 205 $a1st ed. 210 $aChichester $cJohn Wiley & Sons$d2012 215 $a1 online resource (255 p.) 225 1 $aSurveys of Recent Research in Economics 300 $aDescription based upon print version of record. 311 $a1-4443-5031-5 320 $aIncludes bibliographical references and index. 327 $aNonlinearity, Complexity and Randomnessin Economics; Contents; Notes on Contributors; 1. Introduction; 2. Towards an Algorithmic Revolution in Economic Theory; 3. An Algorithmic Information-Theoretic Approach to the Behaviour of Financial Markets; 4. Complexity and Randomness in Mathematics: Philosophical Reflections on the Relevance for Economic Modelling; 5. Behavioural Complexity; 6. Bounded Rationality and the Emergence of Simplicity Amidst Complexity; 7. Emergent Complexity in Agent-Based Computational Economics; 8. Non-Linear Dynamics, Complexity and Randomness: Algorithmic Foundations 327 $a9. Stock-Flow Interactions, Disequilibrium Macroeconomics and the Role of Economic Policy10. Equilibrium Versus Market Efficiency: Randomness versus Complexity in Finance Markets; 11. Flexible Accelerator Economic Systems as Coupled Oscillators; 12. Shifting Sands: Non-Linearity, Complexity and Randomness in Economics; Index 330 $aNonlinearity, Complexity and Randomness in Economics presents a variety of papers by leading economists, scientists, and philosophers who focus on different aspects of nonlinearity, complexity and randomness, and their implications for economics. A theme of the book is that economics should be based on algorithmic, computable mathematical foundations. Features an interdisciplinary collection of papers by economists, scientists, and philosophersPresents new approaches to macroeconomic modelling, agent-based modelling, financial markets, and emergent complexity